I’m a Data Analyst specializing in SQL, Python, Excel, and data visualization, helping clients turn raw data into clear and actionable insights.

I work with data from collection and cleaning through analysis and visualization. I can help you clean and transform datasets, write SQL queries, perform exploratory data analysis, identify trends and patterns, and present findings in an easy-to-understand format.

My technical toolkit includes MySQL, Python, Pandas, NumPy, Matplotlib, Scikit-learn, and Microsoft Excel. I’m comfortable working with SQL JOINs, aggregate functions, window functions, CTEs, subqueries, and other analytical techniques.

I’ve worked on projects involving Netflix data analysis, review-score analysis, data preprocessing, exploratory analysis, visualization, and machine learning.

My focus is on delivering accurate analysis, clean results, and insights that help answer the actual business question.

If you have a dataset that needs to be cleaned, analyzed, queried, or transformed into meaningful insights, I’m ready to help.